This course introduces some key models used in the analysis of spatially-explicit capture-recapture data using Bayesian and classical (likelihood) methods. It closely follows material from the recent book “Spatial Capture-Recapture” (Elsevier, 2013).

The workshop will cover basic model and data analysis concepts in R and the BUGS language (using WinBUGS or JAGS), analysis of classical capture-recapture models (models M0, Mb, Mh, etc.), concepts and methods of spatial capture-recapture models implemented in BUGS and using the R package “secr” written by Murray Efford.

This is an intermediate-level workshop with topical lectures followed by work sessions involving data analysis. Course requirements:(1) Good working knowledge of modern regression methods (regression, ANOVA, generalised linear models, random effects).(2) Experience with the R programming language at a level higher than “beginner”. You should be a regular R user. Manipulating data in R should be routine for you.(3) Knowledge of basic capture-recapture concepts and methods. E.g., the Otis et al. monograph, distance sampling, program MARK, etc.(4) You should have heard of WinBUGS or JAGS. We will spend most of the first day learning how to fit basic regression, GLM and ordinary closed population models in WinBUGS.

If you are interested in attending the workshop please submit your application by filling out the following webform: